ML Anthology

Tracking Multiple Humans in Crowded Environment

Tao Zhao, Ramakant Nevatia
CVPR 2004 pp. 406-413
doi:10.1109/CVPR.2004.253 /cvpr/2004/zhao2004cvpr-tracking/

Abstract

Tracking of humans in dynamic scenes has been an important topic of research. Most techniques, however, are limited to situations where humans appear isolated and occlusion is small. Typical methods rely on appearance models that must be acquired when the humans enter the scene and are not occluded. We present a method that can track humans in crowded environments, with significant and persistent occlusion by making use of human shape models in addition to camera models, the assumption that humans walk on a plane and acquired appearance models. Experimental results and a quantitative evaluation are included.

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Cite

Text

Zhao and Nevatia. "Tracking Multiple Humans in Crowded Environment." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004. doi:10.1109/CVPR.2004.253

Markdown

[Zhao and Nevatia. "Tracking Multiple Humans in Crowded Environment." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004.](https://mlanthology.org/cvpr/2004/zhao2004cvpr-tracking/) doi:10.1109/CVPR.2004.253

BibTeX

@inproceedings{zhao2004cvpr-tracking,
  title     = {{Tracking Multiple Humans in Crowded Environment}},
  author    = {Zhao, Tao and Nevatia, Ramakant},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2004},
  pages     = {406-413},
  doi       = {10.1109/CVPR.2004.253},
  url       = {https://mlanthology.org/cvpr/2004/zhao2004cvpr-tracking/}
}